Abstract
Image analysis techniques and analysis of variance components were used to help design sampling schemes for micromorphometric porosity studies. The objective was to estimate how many Kubiena samples, thin sections from each Kubiena tin, and microscopic fields from each section, should be analyzed to accurately and efficiently characterize soil porosity. The analysis of variance components allowed estimation of variability at different levels of the nested sampling design. Image analysis facilitated the inclusion of a large number of samples in the experiment. Percentage of macroporosity, pore orientation, and two shape factors were quantified for a Vertisol in Texas. Micro-spatial variability of these pore-space characteristics is property-specific: variability at the Kubiena level is large for some attributes while small for some others. Consequently, when addressing several properties simultaneously, the sampling scheme will be a compromise between the required statistical accuracy and the relative costs of collecting Kubiena samples, preparing thin sections, and analyzing microscopic frames.
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